
Automated system for distributed inference serving, optimizing model selection and resource allocation to meet performance and accuracy requirements while reducing costs and complexity for developers.

Scalable, adaptive edge stream processing engine for IoT applications, enabling fast processing of concurrent queries in dynamic environments through dynamic dataflow abstraction and P2P overlay networks.

Innovative hardware-software design for scalable, dynamic secure memory in enclaves, featuring Guarded Page Tables and Mountable Merkle Trees to enhance protection, performance, and resource utilization.

Comprehensive overview of load balancing techniques across network layers, exploring technologies and tradeoffs for fast, reliable multi-region services at Internet scale.

Interactive workshop on designing distributed systems, covering scaling, failure handling, reliability, and consistency. Participants apply concepts to real-world scenarios using cloud components.

Distributed system for training Graph Neural Networks using serverless computing, offering affordable scalability for billion-edge graphs with improved performance-per-dollar compared to GPU servers.

Explore power oversubscription in cloud platforms using prediction-based techniques to optimize datacenter resources, increase efficiency, and minimize impact on critical workloads.

Cryptographic system for enforcing user-defined privacy policies in real-time data analytics, ensuring compliance and protection against breaches while maintaining scalability and low latency.

Optimizes data passing in serverless workflows, adapting to dynamic factors for improved performance and cost-efficiency in analytics applications.

Accelerating FaaS workflows by executing functions as threads, providing lightweight isolation, and dynamically identifying parallelism opportunities to enhance performance and reduce latency.

Innovative distributed JVM for memory-disaggregated environments, featuring a universal Java heap, distributed garbage collection, and efficient swap system to enhance managed cloud application performance.

Explore power capping in data centers with Thunderbolt, a system optimizing throughput and quality of service. Learn about hardware-agnostic solutions for safe power oversubscription and task-level QoS differentiation.

Explore Facebook's Twine, a unified cluster management system for shared infrastructure, scaling to manage one million machines across data centers with innovative approaches to workload customization and resource allocation.

Explore Kubernetes security challenges, attack techniques, and practical advice for pentesters and security practitioners in containerized environments.

Explore Amazon DynamoDB's architecture, scalability, and performance optimizations. Learn how it handles massive workloads, ensures reliability, and evolves to meet increasing demands.

Explore how Equinix Metal implemented OpenTelemetry tracing for bare metal provisioning, improving debugging and reliability across their global infrastructure.

Explore Datadog's metrics backend evolution, scaling challenges, and reliability solutions. Learn about distributed systems, Kafka implementation, and strategies for handling failures at various levels.

Explores a novel Cloud computing Age Browser architecture to address browsing data insecurity and inconvenience issues in modern Web browsers, leveraging cloud storage services.

Learn to create a PID controller for autoscaling Kubernetes deployments, ensuring smooth scaling based on custom targets. Explore control theory principles and their application in SRE practices.

Explore a privacy-preserving protocol for detecting exposed credentials, its implementation as a cloud service, and its effectiveness in prompting users to update compromised passwords.

Practical guide for new SRE leads on organizing teams, managing expectations, and implementing effective strategies. Covers phased approaches, lessons learned, and pitfalls to avoid in SRE journey.